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Merging method of sample libraries for different face recognition

A face recognition and sample library technology, applied in the field of face image recognition, can solve problems such as low efficiency of merging, poor extraction and processing, time-consuming calculation, etc., and achieve the effect of improving efficiency

Pending Publication Date: 2020-11-27
北京君正集成电路股份有限公司
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the current face recognition technology has the problems of poor extraction processing and time-consuming calculation, especially the method of merging face recognition libraries in face recognition still has the problem of low merging efficiency

Method used

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  • Merging method of sample libraries for different face recognition
  • Merging method of sample libraries for different face recognition
  • Merging method of sample libraries for different face recognition

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Experimental program
Comparison scheme
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Embodiment Construction

[0041] Current terms in the field of face recognition technology include:

[0042] 1. Face detection: Input a picture into a detector to extract the coordinate information of the eyes, nose, mouth and the circumscribed rectangle of the face. If there is no face, no information will be output.

[0043] 2. Face recognition library: It is a sample library used to train the face recognition model. Where no confusion arises, it may be referred to simply as a sample library.

[0044] 3. Face recognition model: By using the face recognition library for training, a face recognition model can be obtained. Using the face recognition model, the feature values ​​of the face can be extracted for the face.

[0045] 4. The eigenvalue of the face: it is a face picture, which is one-dimensional data generated after being processed by the face recognition model. This data is called the eigenvalue of the face. For different face pictures of the same person, the spatial distance between featur...

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Abstract

The invention provides a merging method of sample libraries for different face recognition. The method comprises the following steps: S1, setting a sample storage rule; S2, obtaining a picture of thefrontmost face in the face pictures of the same person in a picture folder for storing the same person; S3, according to the result of the step S2, extracting the feature value of the frontmost face of each person in different face recognition libraries, associating each feature value with a folder path of the person, and comparing the feature values in the two different face recognition libraries; S3.1, if the spatial distance between the two feature values is smaller than a first threshold value, regarding persons as the same person, and combining all pictures of the person smaller than thefirst threshold value; S3.2, if the spatial distance is larger than a second threshold value, regarding the persons as different persons, and not merging the persons; and S3.3, combining folders of the person whose spatial distances are greater than or equal to the first threshold value and less than or equal to the second threshold value.

Description

technical field [0001] The invention relates to the technical field of face image recognition, in particular to a method for merging different face recognition sample libraries in face recognition. Background technique [0002] With the continuous development of science and technology, especially the development of computer vision technology, face recognition technology is widely used in various fields such as information security and electronic authentication, and the image feature extraction method has good recognition performance. Face recognition refers to the technology of identifying one or more faces from static or dynamic scenes by using image processing and / or pattern recognition technology based on the known face sample library. However, the current face recognition technology has the problems of poor extraction processing and time-consuming calculation, especially the method of merging face recognition libraries in face recognition still has the problem of low mer...

Claims

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Application Information

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IPC IPC(8): G06F16/16G06F16/14G06F16/51G06K9/00
CPCG06F16/164G06F16/148G06F16/51G06V40/161G06V40/168G06V40/172
Inventor 于晓静田凤彬
Owner 北京君正集成电路股份有限公司